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InterPro MCP (EBI) — protein family / domain / functional-site classification.

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Status
Unhealthy
Uptime
21.6% over 54 days
Last Tested
Transport
Streamable HTTP
URL
Repository
pipeworx-io/mcp-interpro
GitHub Stars
0
Server Listing
mcp-interpro

TDQS

A3.8/5.0

Scored across 39 tools

Disambiguation2/5

Several tools have heavily overlapping purposes: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, and deep_research all answer factual questions with varying grounding, and the prediction-market family (polymarket_edges, polymarket_arbitrage, polymarket_fill_risk, polymarket_kalshi_spread, bet_research, kalshi_weather_edge) all surface tradeable opportunities. An agent would struggle to pick the right tool without reading the full wall of text in each description.

Naming Consistency3/5

All names are lowercase snake_case, but the pattern is inconsistent: some are verb-first (ask_pipeworx, compare_entities, resolve_entity, scan_dependency), some noun-first (company_facts, polymarket_edges, resolution_audit, bet_research), and a few are bare verbs (remember, recall, forget). The ask_pipeworx/_beta/_grounded suffix family is systematic, but overall there is no predictable verb_noun convention across the set.

Tool Count2/5

39 tools is heavy for any server, and the count is inflated by redundant variants (three ask_pipeworx modes, seven prediction-market tools) and out-of-domain utilities (generate_llms_txt, scan_dependency). The set could plausibly be consolidated to roughly half without losing real capability.

Completeness3/5

For the server's de facto data-lookup and prediction-market domain, coverage is strong: routing, grounded answers, deep research, entity resolution, validation, subscriptions, and memory are all present. But the server is named Interpro, and its actual InterPro coverage is only three search/get tools with no protein fetch, sequence search, or taxonomy support; several unrelated utilities further muddy the surface.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 28 tool updates
    • Changedai_visibility_check1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "entity": "Tesla"
        +  }
        +]
    • Changedask_pipeworx_beta1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "question": "What is the current US unemployment rate?"
        +  }
        +]
    • Changedask_pipeworx_grounded1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "question": "What was Apple's fiscal 2023 revenue?"
        +  }
        +]
    • Changedbet_research2 fields changed
      • changedInput schema / examples
        Previous value: -[
        -  {
        -    "market": "will-bitcoin-reach-100k-in-july-2026"
        -  },
        -  {
        -    "market": "https://polymarket.com/event/will-bitcoin-hit-150k-by-june-30-2026"
        -  }
        -]New value: +[
        +  {
        +    "market": "will-kristi-noem-win-the-2028-republican-presidential-nomination"
        +  },
        +  {
        +    "market": "https://polymarket.com/event/will-kristi-noem-win-the-2028-republican-presidential-nomination"
        +  }
        +]
      • changedInput schema / properties / market / description
        Previous value: -"Polymarket slug (\"will-bitcoin-hit-150k-by-june-30-2026\"), full URL (\"https://polymarket.com/event/...\"), or question text (\"Will Bitcoin hit $150k by June 30?\")"New value: +"Polymarket slug (\"will-kristi-noem-win-the-2028-republican-presidential-nomination\"), full URL (\"https://polymarket.com/event/...\"), or question text (\"Will Bitcoin hit $150k?\"). Dated slugs stop resolving once they settle — Polymarket de-indexes resolved markets — so prefer an undated one."
    • Addedcompany_facts
    • Changedcompare_entities1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "type": "company",
        +    "values": [
        +      "AAPL",
        +      "MSFT"
        +    ]
        +  }
        +]
    • Changeddeep_research1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "depth": "quick",
        +    "question": "What is the current US unemployment rate and how has it changed over the past year?"
        +  }
        +]
    • Changedentity_profile1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "type": "company",
        +    "value": "AAPL"
        +  }
        +]
    • Changedgenerate_llms_txt1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "url": "https://pipeworx.io"
        +  }
        +]
    • Addedkalshi_weather_edge
    • Changedpipeworx_feedback1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "message": "Fleet #2184 smoke test: verifying pipeworx_feedback example call returns non-empty.",
        +    "type": "other"
        +  }
        +]
    • Changedpipeworx_trending1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "window": "7d"
        +  }
        +]
    • Changedpolymarket_arbitrage1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "topic": "Fed rate decision"
        +  }
        +]
    • Changedpolymarket_edge_tracker1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "days": 14,
        +    "window": "1wk"
        +  }
        +]
    • Changedpolymarket_edges3 fields changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "limit": 5,
        +    "window": "1wk"
        +  }
        +]
      • changedInput schema / properties / min_edge_pp / description
        Previous value: -"Minimum |edge| in percentage points to include (default 0.5). Edge is evaluated NET of slippage."New value: +"Minimum |edge| in percentage points to include (default 0.5). Edge is evaluated NET of slippage and Polymarket's own taker fee."
      • changedInput schema / properties / slippage_pp / description
        Previous value: -"Assumed execution slippage in percentage points per leg (default 0.3). Subtracted from raw |edge| before ranking and Kelly sizing. Polymarket has zero trading fees as of 2024 but bid/ask + thin depth typically eats 20-50bp per trade. Bump for very thin partitions; drop to 0 if you have a smarter fill model."New value: +"Assumed execution slippage in percentage points per leg (default 0.3), for bid/ask + thin depth cost that a last-trade price does not show. Subtracted from raw |edge| before ranking and Kelly sizing, ON TOP OF Polymarket's own taker fee — which is NOT zero (rate 0.04-0.07 depending on category, read off each market's own published fee schedule; see fees_pp_applied on every row and fees.ts for the full schedule). Bump slippage for very thin partitions; drop to 0 if you have a smarter fill model — the fee still applies regardless."
    • Changedpolymarket_fill_risk1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "market": "will-the-fed-increase-interest-rates-by-25-bps-after-the-december-2026-meeting-20260729232808636",
        +    "side": "buy_yes",
        +    "size_usd": 1000
        +  }
        +]
    • Changedpolymarket_kalshi_spread2 fields changed
      • changedInput schema / examples
        Previous value: -[
        -  {
        -    "topic": "fed"
        -  },
        -  {
        -    "topic": "btc"
        -  }
        -]New value: +[
        +  {
        +    "topic": "fed"
        +  },
        +  {
        +    "topic": "btc"
        +  },
        +  {
        +    "topic": "bitcoin"
        +  },
        +  {
        +    "topic": "fed rate decision"
        +  }
        +]
      • changedInput schema / properties / topic / description
        Previous value: -"Pre-mapped: fed | btc | cpi | gdp | sp500 | recession | next_pope | next_uk_pm | next_israel_pm | 2028_president"New value: +"Subject to compare. Canonical keys: fed | btc | eth | cpi | gdp | sp500 | recession | next_pope | next_uk_pm | next_israel_pm | 2028_president — but aliases and keywords resolve too (\"bitcoin\", \"fed rate decision\", \"ethereum\", \"inflation\", \"s&p 500\", \"us recession\", \"next pope\", \"2028 election\"). Check resolution.topic_matched_by in the response: \"exact\"/\"alias\" is a curated pairing, \"phrase\"/\"token\" is a keyword guess."
    • Changedrecent_changes1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "since": "30d",
        +    "type": "company",
        +    "value": "AAPL"
        +  }
        +]
    • Addedrelease_calendar_markets
    • Changedremember1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "key": "target_ticker",
        +    "value": "AAPL"
        +  }
        +]
    • Addedresolution_audit
    • Addedresolution_diff
    • Changedresolve_entity1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "type": "company",
        +    "value": "AAPL"
        +  }
        +]
    • Changedscan_competitor_ai_presence1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "entities": [
        +      "Pipeworx",
        +      "Zapier"
        +    ]
        +  }
        +]
    • Changedscan_dependency1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "package": "left-pad"
        +  }
        +]
    • Changedsearch_within1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "query": "supply-chain risk",
        +    "text": "Apple Inc. reported fiscal 2023 revenue of $383.285 billion, driven by strong iPhone and Services growth. Net income was $96.995 billion. The company faced supply-chain risk in China during the quarter."
        +  }
        +]
    • Changedsuggest_questions1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "topic": "finance"
        +  }
        +]
    • Changedvalidate_claim1 field changed
      • addedInput schema / examples
        Added value: +[
        +  {
        +    "claim": "Apple's fiscal 2023 revenue was $383 billion"
        +  }
        +]
  2. 1 tool update
    • Changedentity_profile3 fields changed
      • changedInput schema / properties / type / description
        Previous value: -"Entity type. Only \"company\" supported today; person/place coming soon."New value: +"\"company\" or \"ticker\" — both are accepted and behave identically; `value` can be a ticker, CIK, or company name either way. person/place coming soon."
      • changedInput schema / properties / type / enum
        Previous value: -[
        -  "company"
        -]New value: +[
        +  "company",
        +  "ticker"
        +]
      • changedInput schema / properties / value / description
        Previous value: -"Ticker (e.g., \"AAPL\") or zero-padded CIK (e.g., \"0000320193\"). Names not supported — use resolve_entity first if you only have a name."New value: +"Ticker (e.g., \"AAPL\"), zero-padded CIK (e.g., \"0000320193\"), or company name (e.g., \"Moderna\") — names resolve via SEC EDGAR company-name match."
  3. 1 tool update
    • Changedresolve_entity1 field changed
      • changedInput schema / properties / value / description
        Previous value: -"For company: ticker (AAPL), CIK (0000320193), or name. For drug: brand or generic name (e.g., \"ozempic\", \"metformin\")."New value: +"For company: ticker (AAPL), CIK (0000320193), or name. For drug: brand or generic name (e.g., \"ozempic\", \"metformin\"). Pass the ENTITY NAME ONLY — for a bond that is the ISSUER exactly as printed (\"NEW YORK ST DORM AUTH\"), never the question's full noun phrase (\"NEW YORK ST DORM AUTH revenue bonds\"): the FIGI lookup matches instrument names, so trailing security-class words match nothing."

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